About
Impala AI offers a hyperscaled AI inference engine designed for asynchronous, high-volume workloads. Their adaptive platform runs on your cloud, dynamically scaling to handle diverse AI models and heterogeneous GPU infrastructure while ensuring production-level SLOs and cost-effectiveness. The platform aims to streamline the deployment, management, and scaling of AI initiatives for large organizations, addressing operational bottlenecks and reducing costs.
Key facts
At-a-glance profile data
- Website
- getimpala.ai
- Headquarters
- Tel Aviv, Israel
- Founded
- 2024
- Employees
- 32
- Total funding
- $22M (Seed)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 29 Oct 2025 | Seed | $11M | Viola Ventures, NFX |
| 11 Jan 2024 | Seed | $11M | Lightspeed Venture Partners, Insight Partners |
Tech stack
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- Compliance
- SOC 2
- Auth
- Auth0
- Support
- HubSpot
- CMS / Builders
- Webflow
- CDN
- Cloudflare
- Email provider
- Google Workspace
Frequently asked
How much funding has Impala AI raised?
Impala AI has raised a total of $22M in funding. The most recent round on record is Seed.
How many employees does Impala AI have?
Impala AI has approximately 32 people on record.
Snowflake Data Cloud
Snowflake provides a data cloud platform with strong data management and performance, and its capabilities for data processing and analytics overlap with Impala AI's aim to process large datasets for AI-driven value.
SAP HANA Cloud
SAP HANA Cloud offers a cloud-native data foundation for real-time data processing and analysis, which competes with Impala AI's platform designed for scalable AI deployment and processing large datasets.
Oracle Machine Learning
Oracle Machine Learning streamlines the creation and deployment of machine learning models, which directly competes with Impala AI's offering of an AI inference engine for scalable AI deployment.
Google Cloud BigQuery
Google Cloud BigQuery is a serverless data warehouse that simplifies working with data and offers AI-driven tools for efficiency, competing with Impala AI's platform for processing large datasets and scaling AI.